Complex Data Clustering: from Neural Network Architecture to Theory and Applications of Nonlinear Dynamics of Pattern Recognition
نویسندگان
چکیده
This work at the Laboratory for Industrial and Applied Mathematics on the theoretical foundation and applications of projected clustering of high dimensional and big data has been supported by a number of programs and funding agencies including the Canada Research Chairs program, the Natural Sciences and Engineering Research Council of Canada (discovery grant, collaborative research development program), the Mitacs globalink program, the Mitacs accelerate program, the Fields-Mitacs summer research program, the Canada Foundation for Innovation and the Ontario Innovation Trust. A few industrial partners have also been involved, these partners include the Generation 5 Mathematical Technologies Inc. and the InferSystems Corporation. Corresponding author.
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